At a Glance
- Tasks: Lead the design of scalable data models and drive analytics solutions across the business.
- Company: Join a growing organisation focused on enhancing its data and analytics capabilities.
- Benefits: Remote/hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic environment await you.
- Why this job: Shape a modern enterprise data platform and make a real impact with your skills.
- Qualifications: Advanced SQL, experience with Microsoft Fabric, and strong analytics engineering background.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with a growing organisation investing heavily in its data and analytics capability and seeking a Lead Analytics Engineer to help shape a modern enterprise data platform. This is a hands-on technical leadership role focused on building scalable, analytics-ready datasets, semantic models, and trusted KPI frameworks that power reporting, insight generation and data products across the business. You'll work across the full data stack from ingestion and transformation through to curated models and self-service analytics, while helping define best practices in modelling, governance and performance optimisation.
Key Responsibilities
- Design and maintain scalable data models and semantic layers
- Define KPI standards and ensure a single source of truth
- Support data ingestion and optimise pipelines within Microsoft Fabric / Azure
- Drive data quality, testing, governance, and performance improvements
- Translate business requirements into practical, scalable data solutions
- Lead end-to-end delivery of analytics engineering solutions
- Mentor analysts and engineers while promoting best practices
- Leverage AI tools and modern engineering approaches to improve delivery
About You
- Advanced SQL and strong dimensional modelling experience
- Experience with Microsoft Fabric, Lakehouse/Warehouse and Power BI
- Strong understanding of semantic modelling, governance and testing
- Experience delivering end-to-end analytics engineering solutions
- Knowledge of Agile, Git, CI/CD and DevOps practices
- Python and SparkSQL experience beneficial
Lead Analytics Engineer in Leatherhead employer: Oliver James Associates Ltd.
Join a forward-thinking organisation that prioritises innovation and employee development in the realm of data and analytics. As a Lead Analytics Engineer, you'll thrive in a collaborative remote/hybrid environment that fosters creativity and technical excellence, while enjoying opportunities for mentorship and professional growth. With a commitment to best practices and cutting-edge technology, this role offers a unique chance to make a significant impact on the company's data strategy and drive meaningful insights across the business.
Contact Details:
Oliver James Associates Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer in Leatherhead
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We think you need these skills to ace Lead Analytics Engineer in Leatherhead
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver James Associates Ltd., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Oliver James Associates Ltd., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Oliver James Associates Ltd.’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver James Associates Ltd.
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Oliver James Associates Ltd..
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Oliver James Associates Ltd..
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Oliver James Associates Ltd..
